{"id":"W4389565660","doi":"10.33102/iiecons.v10i1.90","title":"DEVELOPMENT OF QUANTUM COMMUNICATIONS TECHNOLOGY (QCT) IN MALAYSIA","year":2023,"lang":"en","type":"article","venue":"I-iECONS e-proceedings","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Perlis","keywords":"Context (archaeology); Information and Communications Technology; The Internet; Variety (cybernetics); Computer science; China; Telecommunications; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274355,0.0001592192,0.00009788747,0.0004159715,0.00112977,0.002641834,0.0003762699,0.001134172,0.002973579],"category_scores_gemma":[0.00168118,0.0002029601,0.0001679665,0.0006604972,0.001281164,0.002685146,0.001191172,0.001207752,0.0003693903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005487081,"about_ca_system_score_gemma":0.01267668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970565,"about_ca_topic_score_gemma":0.01786373,"domain_scores_codex":[0.9991415,0.0002493349,0.00005965138,0.00009579862,0.0002361597,0.000217558],"domain_scores_gemma":[0.9987755,0.0002684387,0.0003221606,0.00008683421,0.0003247898,0.0002221548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000865733,0.0001751379,0.01860712,0.0008275828,0.00001506507,0.001295937,0.003152101,0.007065766,0.005807378,0.8270808,0.01007224,0.1258143],"study_design_scores_gemma":[0.00004138607,0.0005240675,0.0784754,0.002092884,0.00003562585,0.002040991,0.008353301,0.0264137,0.02559,0.1417317,0.7145241,0.0001767368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5476003,0.01758539,0.02088755,0.07461008,0.0004626641,0.0002740515,0.0004208788,0.0001843628,0.3379748],"genre_scores_gemma":[0.961668,0.008380372,0.007872346,0.00138658,0.00003691464,0.00003656895,0.00005002913,0.00001417169,0.02055494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01970565,"threshold_uncertainty_score":0.03981179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122872054624164,"score_gpt":0.2624296552231837,"score_spread":0.2412009346769421,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}